This edited volume looks at whether it is possible to be more transparent about uncertainty in scientific evidence without undermining public understanding and trust. With contributions from leading experts in the field, this book explores the communication of risk and decision-making in an increasingly post-truth world. Drawing on case studies from climate change to genetic testing, the authors argue for better quality evidence synthesis to cut through the noise and highlight the need for more structured public dialogue. For uncertainty in scientific evidence to be communicated effectively, they conclude that trustworthiness is vital: the data and methods underlying statistics must be transparent, valid, and sound, and the numbers need to demonstrate practical utility and add social value to people’s lives. Presenting a conceptual framework to help navigate the reader through the key social and scientific challenges of a post-truth era, this book will be of great relevance to students, scholars, and policy makers with an interest in risk analysis and communication.

This edited volume looks at whether it is possible to be more transparent about uncertainty in scientific evidence without undermining public understanding and trust. With contributions from leading experts in the field, this book explores the communication of risk and decision-making in an increasingly post-truth world. Drawing on case studies from climate change to genetic testing, the authors argue for better quality evidence synthesis to cut through the noise and highlight the need for more structured public dialogue. For uncertainty in scientific evidence to be communicated effectively, they conclude that trustworthiness is vital: the data and methods underlying statistics must be transparent, valid, and sound, and the numbers need to demonstrate practical utility and add social value to people’s lives. Presenting a conceptual framework to help navigate the reader through the key social and scientific challenges of a post-truth era, this book will be of great relevance to students, scholars, and policy makers with an interest in risk analysis and communication.

DIVThis enduring economics text provided the theoretical basis of the entrepreneurial American economy during the post-industrial era. A revolutionary work, it taught the world how to systematically distinguish between risk and uncertainty. /div

Politicians aren't the only ones who lie. The bestselling author of "Is There Life After High School?" explains America's unusually high tolerance for deceit.

Political and civil discourse in the United States is characterized by “Truth Decay,” defined as increasing disagreement about facts, a blurring of the line between opinion and fact, an increase in the relative volume of opinion compared with fact, and lowered trust in formerly respected sources of factual information. This report explores the causes and wide-ranging consequences of Truth Decay and proposes strategies for further action.

Social science.

This comprehensive book looks at COVID-19, along with other recent infectious disease outbreaks, with the broad aim of providing constructive lessons and critical reflections from across a wide range of perspectives and disciplinary interests within the risk analysis field. The chapters in this edited volume probe the roles of risk communication, risk perception, and risk science in helping to manage the ever-growing pandemic that was declared a public health emergency of international concern in the beginning of 2020. A few chapters in the book also include relevant content discussing past disease outbreaks, such as Zika, Ebola and MERS-CoV. This book distils past and present knowledge, appraises current responses, introduces new ideas and data, and offers key recommendations, which will help illuminate different aspects of the global health crisis. It also explores how different constructive insights offered from a ‘risk perspective’ might inform decisions on how best to proceed in response as the pandemic continues. The chapters in this book were originally published as a special issue of the Journal of Risk Research.